Commit Offshore

About the position

• Develop and design a scalable system
• Investigate new technological areas and understand them in depth through rapid self-learning
• Demonstrate strong analytical problem-solving skills to support scalable and sustainable design solutions
• Deliver high-quality solutions to our clients by adhering to software design, development, and testing best practices

Position Requirements:

• At least 3 years of experience as a Java/J2EE developer
• Experience in Relational/NoSql Distributed Databases
• Solid understanding of Messaging platforms (Kafka etc.)
• Experience with developing microservices-based architecture.
• Experience in Spring framework, Springboot, Hibernate, and In-depth knowledge of Java 8+ development
• Experience in unit testing frameworks, such as Junit, TestNG, etc.
• Experience in writing design documents for SW architecture
•  Comfortable tackling new problems and thinking outside the box
• Ability to work independently with minimum supervision and to take on additional tasks as required

Working in a scrum team

Advantages:

•  Python, Spark
• Experience with Kubernetes
• Advanced Dev Environment knowledge: Maven, GIT, Jenkins, Docker
• Experience working as a software developer in an Agile environment
• Experience in CI tools such as Jenkins
•  Working in a Linux environment

Key Responsibilities:

• Java Development: Design and develop backend services using Java and the Spring Framework (Spring Boot, Spring Cloud).
• Microservices: Architect and implement scalable microservices for high availability and performance.
• Helm & Kubernetes: Use Helm and Kubernetes for container orchestration and automated deployment.
• Production Support: Participate in the "Blender" on-call rotation (approximately once a month) to resolve production issues.
• Collaboration: Work closely with cross-functional teams to define, design, and optimize technical solutions.

Skills & Qualifications:

• Java & Spring: 5+ years of hands-on experience with Java and Spring (Spring Boot, Spring Cloud).
• Microservices: Experience building and deploying microservices in a distributed environment.
• Helm/Kubernetes: Familiarity with Helm and Kubernetes for deploying and managing applications in the cloud.
• Cloud Platforms: Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
• On-Call Support: Willingness to participate in the Blender on-call rotation and resolve production incidents.

Key Responsibilities:

• Java Development: Design and develop backend services using Java and the Spring Framework (Spring Boot, Spring Cloud).
• Microservices: Architect and implement scalable microservices for high availability and performance.
• Helm & Kubernetes: Use Helm and Kubernetes for container orchestration and automated deployment.
• Production Support: Participate in the "Blender" on-call rotation (approximately once a month) to resolve production issues.
• Collaboration: Work closely with cross-functional teams to define, design, and optimize technical solutions.

Skills & Qualifications:

• Java & Spring: 5+ years of hands-on experience with Java and Spring (Spring Boot, Spring Cloud).
• Microservices: Experience building and deploying microservices in a distributed environment.
• Helm/Kubernetes: Familiarity with Helm and Kubernetes for deploying and managing applications in the cloud.
• Cloud Platforms: Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
• On-Call Support: Willingness to participate in the Blender on-call rotation and resolve production incidents.

Soft Skills:

• Strong problem-solving and troubleshooting skills.
• Excellent team player with effective communication and collaboration skills.
• Adaptable in a fast-paced, dynamic environment.

Join a global leader shaping the future of autonomous AI agents for developers. We’re an international, fast-growing company building AI-powered tools that transform coding workflows, automate repetitive tasks, and boost developer productivity worldwide.

About the Role:

As a Senior Full-Stack Engineer, you’ll work across the stack to design scalable backend systems, build high-performance UIs, and integrate AI assistants into modern development workflows. You’ll tackle challenges like parsing massive codebases, building intelligent automation, and optimizing cloud infrastructure at scale.

Tech Stack:

React, TypeScript, Python, Node.js, Postgres, Redis, AWS (extensive use of managed services)

Responsibilities:

• Architect and implement scalable backend services and APIs.
• Build intuitive, performant frontend components and IDE integrations.
• Collaborate with AI engineers to integrate intelligent automation.
• Optimize performance, reliability, and developer experience across systems.

Requirements:

• 5+ years of full-stack development experience.
• Expert in React and TypeScript with modern frontend architecture skills.
• Hands-on AWS experience and strong backend skills in Python or Node.js.
• Experience with Python - must

Nice to Have:

• Familiarity with AI-powered dev tools, CI/CD pipelines, and IaC (Terraform or Pulumi).

Why Join Us:

• Be part of a global company redefining how software is built with AI.
• Collaborate with top engineers and AI specialists worldwide.
• Solve cutting-edge challenges in a fast-paced, innovative environment.
• Enjoy a fun, international culture with endless opportunities for growth and impact.
• Full remote position.

We’re looking for a highly analytical, tech-savvy Finance Analyst to join our FP&A team. You’ll own headcount planning, partner on revenue modeling, and deliver crisp insights that help leaders make fast, confident decisions.

What you’ll do

• Lead headcount planning: manage hiring plans, analyze payroll spend, and build/maintain forecasts.
• Own revenue models: manage usage-based and rev-share models; review commercial agreements for financial accuracy and data consistency.
• Forecast & analyze: deliver monthly/quarterly forecasts, variance analysis, and ad-hoc analytics that drive business decisions.
• Partner with stakeholders: translate financial results into clear, actionable insights aligned to strategic goals.
• Improve the stack: maintain and enhance financial models, processes, and data automation.
•  

What you’ll bring

• 5+ years in FP&A, ideally in a tech or SaaS environment.
• Proven experience with headcount planning, revenue modeling, and payroll forecasting.
• Advanced Excel (including Power Query — mandatory).
• Advanced SQL (mandatory).
• Strong analytical rigor and attention to detail.
• Excellent communication and business-partnering skills.
• Fluent English (written and verbal); able to present analysis and insights clearly to stakeholders.

We’re seeking a highly skilled Generative AI Engineer with deep expertise in LLM app development, backend systems, and prompt engineering. You will lead the design and implementation of advanced AI applications using OpenAI APIs and other LLM providers, with a focus on robust, scalable, and production-grade architectures. You’ll work across the GenAI stack, from backend services in .NET and Python to prompt engineering and RAG pipelines, and will contribute to benchmarking, testing, and observability of LLM-powered systems.

Responsibilities
● Integrate and optimize applications using LLM provider APIs (e.g. OpenAI Chat Completions),
including model/parameter selection, structured output, function calling, etc.
● Design and refine prompts with few-shot, chain-of-thought, context crafting, and prompt
chaining techniques.
● Benchmark and evaluate models (e.g., reasoning vs. non-reasoning) using custom eval sets and automated testing frameworks.
● Build and monitor RAG pipelines, implement summarization, chat with data and other use cases.
● Develop robust backend services in .NET and Python, working with SQL, REST APIs, and
integrating with LLM services.
● Implement LLM tracing, monitoring, and logging for observability.
● Apply prompt security best practices, including injection protection and guardrails.
● Collaborate across teams to build agentic workflows, and support ETL/data transformations for AI readiness.
 

Required Skills
● 1-2+ years demonstrable experience in developing Generative AI applications.
● Proven hands-on experience with OpenAI APIs, model selection, and LLM capabilities
● Proven hands-on experience with prompt engineering, including structured prompts, function
calls, and evaluation techniques.
● Experience with RAG and building LLM-centric workflows
● 3+ years of experience as a software developer
● Strong backend development skills in .NET (C#) and SQL
● Proficiency in Python; familiarity with JavaScript
● Experience with Docker, Kubernetes, and RESTful APIs
● Familiarity with Azure, particularly AKS, ACR, and containerized app deployment
● English - fluent speaking, reading and writing

We're looking for an Automation QA Engineer who enjoys solving problems, writing clean automation code, and ensuring product quality at scale.

Role Overview 

As an Automation QA Engineer, you will design, implement, and maintain automated test frameworks for front-end and back-end systems. You’ll work closely with developers, DevOps, and product teams to ensure seamless CI/CD integration and high-quality releases. This role is ideal for someone with 2–3 years of experience who has strong technical foundations, good debugging instincts, and experience testing modern web applications. 

Key Responsibilities 

• Build and maintain automated UI and API test suites (primarily using TypeScript). 

• Develop automated tests using Playwright or similar test frameworks. 

• Analyze logs, network calls, and execution traces to identify failures or flaky tests. 

• Collaborate with developers to define test strategies and acceptance criteria. 

• Integrate automated tests into CI/CD pipelines using GitHub Actions or Jenkins. 

• Write and optimize SQL queries for validation of back-end data. 

• Create test plans, test cases, and documentation for new and existing features. 

• Identify root causes of issues and propose improvements to automation frameworks. 

• Work with cross-functional teams to continuously improve QA processes.

Required Skills & Experience 

• 2–3 years of experience in Automation QA or Software Testing. 

• Strong programming skills in TypeScript (primary automation language). 

• Hands-on experience with Playwright, Cypress, or Selenium (Playwright preferred). 

• Practical experience with GitHub Actions or prior experience with Jenkins CI/CD. 

• Familiarity with API testing tools (Postman, REST clients, or automated API frameworks). 

• Solid understanding of testing methodologies, debugging, and root-cause analysis. 

• Experience writing SQL queries and validating data across relational databases. 

• Ability to work independently and communicate effectively in a fast-moving environment.

We are looking for a FULL-STACK ENGINEER – NEXT.JS / CONVERSATIONAL AI PLATFORM. 

As a Full-Stack Engineer, you will:

• Own the conversational UI and project workspace experience.
• Build real-time views of files and artifacts generated by the AI.
• Connect the frontend with backend APIs and agent workflows.
• Leverage AI tools yourself to move faster (for prototyping, scaffolding, and UX exploration).

RESPONSIBILITIES

Frontend / UX

• Build a modern conversational interface in Next.js (App Router) with a chat panel, streaming AI responses, and message history.
• Implement a dynamic “artifact viewer” area (e.g., file tree, previews, details) that updates as the agent creates or modifies assets.
• Create responsive, multi-panel layouts that work well on desktop and mobile.
• Optimize rendering and state management for long-lived sessions and many messages.
• Implement infinite scrolling / pagination patterns where needed (e.g., history, lists).
   

Full-Stack Integration

• Implement and consume API routes for:
  • Sending messages to the agent.
  • Fetching and updating project artifacts.
  • Managing project/session state on the client.
• Integrate the frontend with backend agentic flows (tool calls, file operations, external system integrations).
• Apply sensible caching and revalidation strategies (ISR/ISG, SWR, edge caching) to reduce backend load while keeping data fresh.
• Collaborate with backend engineers on data contracts, tool schemas, and event formats.
   

AI-Assisted Development

• Use AI tools (such as Lovable, Base44, Bolt.new, model-based coding assistants, etc.) for:
  • Rapid UI prototyping.
  • Generating boilerplate.
  • Exploring UX and flow ideas.
• Be comfortable iterating quickly on product and UX based on feedback.
   

REQUIRED SKILLS

• Strong experience with Next.js (preferably App Router) and modern React.
• Experience building interactive UIs such as chat interfaces, dashboards, or IDE-like tools.
• Familiarity with:
  • Streaming responses (SSE, fetch streams, or similar).
  • State management patterns in React.
  • Basic web performance and rendering optimization.
• Experience integrating frontend code with backend APIs.
• Comfortable using AI tools to accelerate development rather than resisting them.
• Experience building conversational AI interfaces, copilots, or agent-based products.
• Exposure to LLM concepts such as function calling (tools), RAG, or vector search.
• Experience with Tailwind, component libraries, or design systems.
• Experience working with developer tools or “builder” style products.

Role Overview:

We are looking for a Mid-level Automation QA Engineer to join our team in Poland. The role will primarily focus on API testing (80%) with UI testing (20%). You will help design, enhance, and maintain automation frameworks, ensuring efficient and scalable testing.

Key Responsibilities:

Automation Framework & Strategy

• Contribute to designing and improving automation testing strategies.
• Develop and maintain automation frameworks for API, UI, and LLM validation.

• Ensure scalability, maintainability, and reusability of automation code.

   

Test Development & Execution

• API Testing: Develop automated API tests in Python using the Requests library.
• UI Testing: Create and maintain UI tests with Playwright.
• Integrate automated tests with Postman collections where applicable.

• Execute performance, regression, and functional tests.

   

Continuous Integration & Deployment

• Integrate automation tests into CI/CD pipelines (Jenkins preferred).
• Work with Docker and Kubernetes to manage and scale test environments.

Collaboration & Documentation

• Collaborate with developers, QA, and DevOps teams to improve the QA process.
• Write test plans, strategies, and design documents.
• Track issues using Jira and manage test cases (Xray optional).
• Analyze logs, investigate failures, and troubleshoot in staging and production.

Required Qualifications & Experience:

✅ Must-Have:

• 5 years of experience in test automation or a related QA role.
• Strong programming skills in Python.
• Solid experience in API automation (Requests library) and UI automation (Playwright).
• Experience with CI/CD tools (Jenkins preferred).
• Experience with Docker & Kubernetes for test environments.
• Strong analytical, problem-solving, and debugging skills.
• Experience with Jira for tracking and reporting.
• Ability to work independently and proactively in a fast-paced environment.

✅ Nice to Have:

• Experience with Kafka.
• Familiarity with Xray for test management.
• Knowledge of AWS cloud services.

 We are looking for a talented Cloud Infrastructure Engineer to join our dynamic team and help enhance our cloud infrastructure to better serve our clients.

Key Responsibilities:

• Design, deploy, and manage scalable cloud infrastructure across AWS, Azure, GCP, Alicloud, and Oracle Cloud, as well as on-premise solutions.
• Implement configuration management using tools like Ansible and Puppet to maintain system consistency and reliability.
• Utilize Infrastructure as Code (IaC) methodologies with Terraform and CloudFormation to automate and streamline cloud resource provisioning.
• Manage containerized applications using Docker, Podman, and Kubernetes to ensure high availability and performance.
• Administer and optimize Linux and FreeBSD operating systems for efficiency and security.
• Configure and maintain web servers (Nginx, Apache) and application servers (Tomcat, Jetty, uWSGI) to support our solutions.
• Design and implement networking solutions, including routing, switching, SDN, VPN, VPC, LAN, and WAN.
• Manage and optimize SQL (PgSQL, MySQL) and NoSQL databases (MongoDB, Cassandra, Elasticsearch, Redis) to support data-driven applications.
• Oversee virtualization environments using KVM, OpenVZ, VMWare ESXI, and Hyper-V for resource management.
• Set up comprehensive monitoring and alerting solutions with Zabbix, Cacti, Nagios, Datadog, CloudWatch, ELK, and NewRelic to ensure system health.
• Integrate and manage message brokers such as Kafka, RabbitMQ, and ActiveMQ for effective data processing.
• Utilize discovery tools like Consul and Zookeeper to maintain service health and availability.
• Develop and maintain scripts in Bash and Python for automation and system management tasks.
• Collaborate with development teams using CI tools like Jenkins and GitLab pipelines to enhance deployment workflows.

Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Proven 5+ years of experience with cloud platforms (AWS, Azure, GCP, Alicloud, Oracle Cloud) and on-premise infrastructure.
• Experience with Datadog, Github Actions, CI/CD, Docker, Octopus
• AWS Services: Lambda, Lambda@Edge, ECS, RDS, Aurora, Postgres, Dynamo, Redis, Cloudfront, Cloudformation, SQS, SNS, Cloudwatch
• Strong knowledge of configuration management tools (Ansible, Puppet) and IaC tools (Terraform, CloudFormation).
• Experience with container orchestration and management (Docker, Kubernetes).
• Proficient in Linux and FreeBSD operating systems.
• Familiarity with web and application server technologies (Nginx, Apache, Tomcat, Jetty, uWSGI).
• Understanding of networking concepts and protocols, including SDN, VPN, VPC, LAN, and WAN.
• Experience with SQL and NoSQL databases.
• Hands-on experience with virtualization technologies (KVM, OpenVZ, VMWare ESXI, Hyper-V).
• Knowledge of monitoring and logging tools (Zabbix, Nagios, Datadog, ELK).
• Experience with message brokers and service discovery tools.
• Proficient in scripting languages such as Bash and Python.
• Familiarity with CI/CD processes and tools (Jenkins, GitLab).

Preferred Qualifications:

• Cloud certifications (e.g., AWS Certified Solutions Architect, Azure Solutions Architect Expert, Google Cloud Professional).
• Familiarity with Agile methodologies and DevOps practices.

DevOps Engineer     

We are looking for a talented DevOps Engineer to join our team, working on cutting-edge AI infrastructure that powers our developer tools. If you have a passion for cloud infrastructure, love automating everything, and are eager to help shape the future of AI-powered development platforms, this is the perfect opportunity for you.   

Why Join Us?   

• Be part of an innovative team at the forefront of AI infrastructure for software developers. 

• Work with cutting-edge cloud technologies and modern DevOps practices. 

• Own and shape the infrastructure that powers AI agents and development tools. 

• Collaborate with top-tier engineers building the next generation of developer tools. 

• Solve complex challenges in a fast-paced, growing company. 

• Enjoy a fun work environment with exciting opportunities as we rapidly expand.  

 Our tech stack 

  Pulumi (TypeScript) (Huge advantage) , GitHub Actions (Big advantage) , AWS (ECS, RDS, VPC, Lambda, S3, ECR), Docker, , Datadog, PostgreSQL, Python, Node.js.   

Responsibilities:   You'll play a key role in maintaining, optimizing, and scaling our cloud infrastructure. Responsibilities include managing infrastructure as code with Pulumi, maintaining comprehensive CI/CD pipelines with GitHub Actions, orchestrating containerized services on ECS, and ensuring reliable deployments across dev and production environments. You'll work with microservices architecture, optimize build and deployment processes, configure monitoring and alerting, and implement security best practices.  

 Preferred Qualifications:   

• 3 to 5 years of DevOps/Infrastructure Engineering experience 

• Strong AWS expertise with hands-on experience in ECS/Fargate, VPC networking, RDS, IAM, and CloudWatch 

• Experience with Infrastructure as Code tools such as Pulumi must know or Terraform, or CloudFormation 

• Extensive experience with CI/CD pipelines (GitHub Actions preferred) • Deep knowledge of Docker and containerization best practices 

• Proficiency in TypeScript/JavaScript, Python, and Bash 

• Strong Linux/Unix system administration and command-line skills 

• Understanding of networking (TCP/IP, DNS, load balancing, network security) 

• Advantage - Experience with Pulumi (TypeScript) 

• Advantage - Experience with Datadog or similar APM tools 

• Advantage - PostgreSQL administration and optimization experience • Advantage - Experience with gRPC and microservices architectures 

• Advantage - Multi-account AWS setup experience 

• Advantage - Experience with load testing tools (Locust, k6, etc.) 

• Advantage - Experience with monorepo CI/CD strategies  

What you’ll do:
• You'll be the owner of all analytical aspects of your domains
• Build and maintain reports, dashboards, and metrics, in addition to monitoring the integrity and validity of the data reported.
• Use analytical tools, data mining, and business logic to consult the product team on various day-to-day tasks.
• Analyze and optimize products and activities, take part in design and implementation, and be a key part of strategic product decisions.
• Own and manage multiple data initiatives and projects both on an on-going and an ad-hoc basis.
• Define alerts and monitor performance to improve processes efficiency
• Provide supporting data for prioritizing new features and initiatives
• Work closely with the Product, R&D, Operations and Business teams.
 

What you’ll need:
• 4+ years of experience working in a Product/Data/Business/Operations Analysis position in a high data-rich environment
• Excellent proficiency in SQL
• Excellent communication skills with the ability to deliver results of analyses clearly and effectively
• Fast learning capabilities and proven ability to multitask - working on several projects at a time.
• BSc/BA in a highly quantitative field such as mathematics, statistics, or engineering.
• Proven experience working with AI tools for analytics
• Experience in Tableau/Power BI/Looker - an advantage
• Experience in analyzing datasets via an LLM tool - an advantage
• Python/R experience - an advantage
• Passion for sports - advantage

We are looking for a DevOps Ninja! If you have a strong passion for building next-generation MLOps platforms, you should strongly consider joining us as a Senior DevOps engineer. You will lead large-scale, cross-team efforts and work closely with R&D architects to provide the best DevOps angles for SaaS solutions and also be customer facing providing our customers with the best cloud solutions.

Senior DevOps Engineer – Job Description

As a Senior DevOps Engineer, you will…

• Lead the team towards technical solutions guided by a strong understanding of the latest and greatest technologies such as Kubernetes, Helm, Terraform, and more
• Design, implement, and manage cloud and containerized architectures in AWS and Azure, GCP, OpenStack
• Work with a large scale of customers with extensive use of Kubernetes and Helm
• Tackle large-scale production issues and bring out-of-the-box thinking to the table
• Evaluate new cloud-native technologies and vendor products to continuously improve our SaaS offerings

To be a Senior DevOps Engineer, you need…

• 5+ years of relevant DevOps experience in large-scale production environments
• 2+ years of infrastructure automation, configuration management, or container orchestration
• 2+ years of experience in Python or another advanced programming language
• Strong ability to lead, design, and execute cross-organization projects
• High experience managing container and infrastructure orchestration tools (e.g., Kubernetes, Helm, Terraform)
• Hands-on experience administering public clouds (AWS or Azure, GCP)
• Experience building CI/CD pipelines for applications and microservices

We are looking for an experienced Backend Engineer to build and scale high-performance backend systems for modern cloud-native products. You will work with Python, AWS, Kubernetes, and microservices, contributing to reliable, secure, and scalable solutions used across multiple industries.

What You’ll do:

• Design, develop, and maintain backend services using Python (Django is a plus)
• Build and scale microservices-based architectures
• Develop and deploy cloud solutions on AWS (ECS, EKS, Lambda, S3, RDS)
• Deploy and manage containerized applications using Kubernetes (K8s)
• Ensure high performance, reliability, security, and scalability
• Collaborate with product and engineering teams on system architecture
• Fluent in ukranian
   

What We’re looking for:

• 7+ years of backend software development experience
• Strong proficiency in Python
• Hands-on experience with Kubernetes and container orchestration
• Solid experience with AWS cloud services
• Strong understanding of microservices and distributed systems
• Experience with relational and NoSQL databases
• Excellent problem-solving and debugging skills
• Team-oriented mindset with strong communication skills

Nice to have:

• Experience with Django
• Knowledge of CI/CD pipelines
• Experience with Docker
• Familiarity with DevOps practices